Provenance of digital scientific data is an important piece of the metadata of a data object. It can however grow voluminous quickly
because the granularity level of capture can be high. It can also be quite feature rich. ...

This report summarizes training, education, and outreach activities for calendar 2011 of PTI and affiliated organizations, including the School of Informatics and Computing, Office of the Vice President for Information ...

Too many people, too few people; inspiring young people; examples of interesting educational activities (roughly scaling up by participant count); new opportunities for cyberinfrastructure at the campus, national, and ...

Several components developed as part of the cceHUB database project (namely com_dataview and com_form) were used to PROTOTYPE a new component supporting basic data exploration functions: the creation and display of frequency ...

Visualization facilitates the understanding of scientific data both through exploration and explanation of the visualized data. Provenance also contributes to the understanding of data by containing the contributing factors ...

This report describes the Indiana University Pervasive Technology Institute cyberinfrastructure in service of IU strategic goals — specifically the activities of the Research Technologies Division of UITS and National ...

Digital texts with access and use protections form a unique and fast growing collection of materials. Growing equally quickly is the development of text and data mining algorithms that process large text-based collections ...